/*
 Navicat Premium Dump SQL

 Source Server         : database
 Source Server Type    : SQLite
 Source Server Version : 3045000 (3.45.0)
 Source Schema         : main

 Target Server Type    : SQLite
 Target Server Version : 3045000 (3.45.0)
 File Encoding         : 65001

 Date: 07/04/2025 00:22:39
*/

PRAGMA foreign_keys = false;

-- ----------------------------
-- Table structure for local_ollama_models
-- ----------------------------
DROP TABLE IF EXISTS "local_ollama_models";
CREATE TABLE `local_ollama_models` (`id` INTEGER PRIMARY KEY AUTOINCREMENT, `name` VARCHAR(500) NOT NULL, `description` TEXT, `capabilities` JSON, `sizes` JSON, `sort` INTEGER DEFAULT 0, `created_at` DATETIME NOT NULL, `updated_at` DATETIME NOT NULL, `deleted_at` DATETIME);

-- ----------------------------
-- Records of local_ollama_models
-- ----------------------------
BEGIN;
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (1, 'gemma3', 'The current, most capable model that runs on a single GPU.', '["vision"]', '["1b","4b","12b","27b"]', 0, '2025-04-06 16:15:31.016 +00:00', '2025-04-06 16:15:31.016 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (2, 'qwq', 'QwQ is the reasoning model of the Qwen series.', '["tools"]', '["32b"]', 1, '2025-04-06 16:15:31.020 +00:00', '2025-04-06 16:15:31.020 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (3, 'deepseek-r1', 'DeepSeek''s first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.', '[]', '["1.5b","7b","8b","14b","32b","70b","671b"]', 2, '2025-04-06 16:15:31.023 +00:00', '2025-04-06 16:15:31.023 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (4, 'llama3.3', 'New state of the art 70B model. Llama 3.3 70B offers similar performance compared to the Llama 3.1 405B model.', '["tools"]', '["70b"]', 3, '2025-04-06 16:15:31.026 +00:00', '2025-04-06 16:15:31.026 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (5, 'phi4', 'Phi-4 is a 14B parameter, state-of-the-art open model from Microsoft.', '[]', '["14b"]', 4, '2025-04-06 16:15:31.030 +00:00', '2025-04-06 16:15:31.030 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (6, 'llama3.2', 'Meta''s Llama 3.2 goes small with 1B and 3B models.', '["tools"]', '["1b","3b"]', 5, '2025-04-06 16:15:31.035 +00:00', '2025-04-06 16:15:31.035 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (7, 'llama3.1', 'Llama 3.1 is a new state-of-the-art model from Meta available in 8B, 70B and 405B parameter sizes.', '["tools"]', '["8b","70b","405b"]', 6, '2025-04-06 16:15:31.039 +00:00', '2025-04-06 16:15:31.039 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (8, 'nomic-embed-text', 'A high-performing open embedding model with a large token context window.', '["embedding"]', '[]', 7, '2025-04-06 16:15:31.044 +00:00', '2025-04-06 16:15:31.044 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (9, 'mistral', 'The 7B model released by Mistral AI, updated to version 0.3.', '["tools"]', '["7b"]', 8, '2025-04-06 16:15:31.059 +00:00', '2025-04-06 16:15:31.059 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (10, 'llama3', 'Meta Llama 3: The most capable openly available LLM to date', '[]', '["8b","70b"]', 9, '2025-04-06 16:15:31.061 +00:00', '2025-04-06 16:15:31.061 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (11, 'qwen2.5', 'Qwen2.5 models are pretrained on Alibaba''s latest large-scale dataset, encompassing up to 18 trillion tokens. The model supports up to 128K tokens and has multilingual support.', '["tools"]', '["0.5b","1.5b","3b","7b","14b","32b","72b"]', 10, '2025-04-06 16:15:31.063 +00:00', '2025-04-06 16:15:31.063 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (12, 'qwen2.5-coder', 'The latest series of Code-Specific Qwen models, with significant improvements in code generation, code reasoning, and code fixing.', '["tools"]', '["0.5b","1.5b","3b","7b","14b","32b"]', 11, '2025-04-06 16:15:31.065 +00:00', '2025-04-06 16:15:31.065 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (13, 'llava', '🌋 LLaVA is a novel end-to-end trained large multimodal model that combines a vision encoder and Vicuna for general-purpose visual and language understanding. Updated to version 1.6.', '["vision"]', '["7b","13b","34b"]', 12, '2025-04-06 16:15:31.066 +00:00', '2025-04-06 16:15:31.066 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (14, 'qwen', 'Qwen 1.5 is a series of large language models by Alibaba Cloud spanning from 0.5B to 110B parameters', '[]', '["0.5b","1.8b","4b","7b","14b","32b","72b","110b"]', 13, '2025-04-06 16:15:31.067 +00:00', '2025-04-06 16:15:31.067 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (15, 'gemma', 'Gemma is a family of lightweight, state-of-the-art open models built by Google DeepMind. Updated to version 1.1', '[]', '["2b","7b"]', 14, '2025-04-06 16:15:31.068 +00:00', '2025-04-06 16:15:31.068 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (16, 'qwen2', 'Qwen2 is a new series of large language models from Alibaba group', '["tools"]', '["0.5b","1.5b","7b","72b"]', 15, '2025-04-06 16:15:31.069 +00:00', '2025-04-06 16:15:31.069 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (17, 'gemma2', 'Google Gemma 2 is a high-performing and efficient model available in three sizes: 2B, 9B, and 27B.', '[]', '["2b","9b","27b"]', 16, '2025-04-06 16:15:31.069 +00:00', '2025-04-06 16:15:31.069 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (18, 'llama2', 'Llama 2 is a collection of foundation language models ranging from 7B to 70B parameters.', '[]', '["7b","13b","70b"]', 17, '2025-04-06 16:15:31.070 +00:00', '2025-04-06 16:15:31.070 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (19, 'phi3', 'Phi-3 is a family of lightweight 3B (Mini) and 14B (Medium) state-of-the-art open models by Microsoft.', '[]', '["3.8b","14b"]', 18, '2025-04-06 16:15:31.071 +00:00', '2025-04-06 16:15:31.071 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (20, 'mxbai-embed-large', 'State-of-the-art large embedding model from mixedbread.ai', '["embedding"]', '["335m"]', 19, '2025-04-06 16:15:31.071 +00:00', '2025-04-06 16:15:31.071 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (21, 'codellama', 'A large language model that can use text prompts to generate and discuss code.', '[]', '["7b","13b","34b","70b"]', 20, '2025-04-06 16:15:31.072 +00:00', '2025-04-06 16:15:31.072 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (22, 'llama3.2-vision', 'Llama 3.2 Vision is a collection of instruction-tuned image reasoning generative models in 11B and 90B sizes.', '["vision"]', '["11b","90b"]', 21, '2025-04-06 16:15:31.073 +00:00', '2025-04-06 16:15:31.073 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (23, 'mistral-nemo', 'A state-of-the-art 12B model with 128k context length, built by Mistral AI in collaboration with NVIDIA.', '["tools"]', '["12b"]', 22, '2025-04-06 16:15:31.074 +00:00', '2025-04-06 16:15:31.074 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (24, 'tinyllama', 'The TinyLlama project is an open endeavor to train a compact 1.1B Llama model on 3 trillion tokens.', '[]', '["1.1b"]', 23, '2025-04-06 16:15:31.074 +00:00', '2025-04-06 16:15:31.074 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (25, 'deepseek-v3', 'A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.', '[]', '["671b"]', 24, '2025-04-06 16:15:31.075 +00:00', '2025-04-06 16:15:31.075 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (26, 'starcoder2', 'StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters.', '[]', '["3b","7b","15b"]', 25, '2025-04-06 16:15:31.076 +00:00', '2025-04-06 16:15:31.076 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (27, 'llama2-uncensored', 'Uncensored Llama 2 model by George Sung and Jarrad Hope.', '[]', '["7b","70b"]', 26, '2025-04-06 16:15:31.077 +00:00', '2025-04-06 16:15:31.077 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (28, 'minicpm-v', 'A series of multimodal LLMs (MLLMs) designed for vision-language understanding.', '["vision"]', '["8b"]', 27, '2025-04-06 16:15:31.077 +00:00', '2025-04-06 16:15:31.077 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (29, 'bge-m3', 'BGE-M3 is a new model from BAAI distinguished for its versatility in Multi-Functionality, Multi-Linguality, and Multi-Granularity.', '["embedding"]', '["567m"]', 28, '2025-04-06 16:15:31.078 +00:00', '2025-04-06 16:15:31.078 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (30, 'deepseek-coder-v2', 'An open-source Mixture-of-Experts code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks.', '[]', '["16b","236b"]', 29, '2025-04-06 16:15:31.079 +00:00', '2025-04-06 16:15:31.079 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (31, 'snowflake-arctic-embed', 'A suite of text embedding models by Snowflake, optimized for performance.', '["embedding"]', '["22m","33m","110m","137m","335m"]', 30, '2025-04-06 16:15:31.080 +00:00', '2025-04-06 16:15:31.080 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (32, 'dolphin3', 'Dolphin 3.0 Llama 3.1 8B 🐬 is the next generation of the Dolphin series of instruct-tuned models designed to be the ultimate general purpose local model, enabling coding, math, agentic, function calling, and general use cases.', '[]', '["8b"]', 31, '2025-04-06 16:15:31.081 +00:00', '2025-04-06 16:15:31.081 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (33, 'deepseek-coder', 'DeepSeek Coder is a capable coding model trained on two trillion code and natural language tokens.', '[]', '["1.3b","6.7b","33b"]', 32, '2025-04-06 16:15:31.083 +00:00', '2025-04-06 16:15:31.083 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (34, 'mixtral', 'A set of Mixture of Experts (MoE) model with open weights by Mistral AI in 8x7b and 8x22b parameter sizes.', '["tools"]', '["8x7b","8x22b"]', 33, '2025-04-06 16:15:31.084 +00:00', '2025-04-06 16:15:31.084 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (35, 'olmo2', 'OLMo 2 is a new family of 7B and 13B models trained on up to 5T tokens. These models are on par with or better than equivalently sized fully open models, and competitive with open-weight models such as Llama 3.1 on English academic benchmarks.', '[]', '["7b","13b"]', 34, '2025-04-06 16:15:31.085 +00:00', '2025-04-06 16:15:31.085 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (36, 'llava-llama3', 'A LLaVA model fine-tuned from Llama 3 Instruct with better scores in several benchmarks.', '["vision"]', '["8b"]', 35, '2025-04-06 16:15:31.086 +00:00', '2025-04-06 16:15:31.086 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (37, 'codegemma', 'CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following.', '[]', '["2b","7b"]', 36, '2025-04-06 16:15:31.086 +00:00', '2025-04-06 16:15:31.086 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (38, 'dolphin-mixtral', 'Uncensored, 8x7b and 8x22b fine-tuned models based on the Mixtral mixture of experts models that excels at coding tasks. Created by Eric Hartford.', '[]', '["8x7b","8x22b"]', 37, '2025-04-06 16:15:31.087 +00:00', '2025-04-06 16:15:31.087 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (39, 'openthinker', 'A fully open-source family of reasoning models built using a dataset derived by distilling DeepSeek-R1.', '[]', '["7b","32b"]', 38, '2025-04-06 16:15:31.088 +00:00', '2025-04-06 16:15:31.088 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (40, 'smollm2', 'SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters.', '["tools"]', '["135m","360m","1.7b"]', 39, '2025-04-06 16:15:31.089 +00:00', '2025-04-06 16:15:31.089 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (41, 'phi', 'Phi-2: a 2.7B language model by Microsoft Research that demonstrates outstanding reasoning and language understanding capabilities.', '[]', '["2.7b"]', 40, '2025-04-06 16:15:31.089 +00:00', '2025-04-06 16:15:31.089 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (42, 'mistral-small', 'Mistral Small 3 sets a new benchmark in the “small” Large Language Models category below 70B.', '["vision","tools"]', '["22b","24b"]', 41, '2025-04-06 16:15:31.090 +00:00', '2025-04-06 16:15:31.090 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (43, 'wizardlm2', 'State of the art large language model from Microsoft AI with improved performance on complex chat, multilingual, reasoning and agent use cases.', '[]', '["7b","8x22b"]', 42, '2025-04-06 16:15:31.091 +00:00', '2025-04-06 16:15:31.091 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (44, 'all-minilm', 'Embedding models on very large sentence level datasets.', '["embedding"]', '["22m","33m"]', 43, '2025-04-06 16:15:31.093 +00:00', '2025-04-06 16:15:31.093 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (45, 'dolphin-mistral', 'The uncensored Dolphin model based on Mistral that excels at coding tasks. Updated to version 2.8.', '[]', '["7b"]', 44, '2025-04-06 16:15:31.095 +00:00', '2025-04-06 16:15:31.095 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (46, 'orca-mini', 'A general-purpose model ranging from 3 billion parameters to 70 billion, suitable for entry-level hardware.', '[]', '["3b","7b","13b","70b"]', 45, '2025-04-06 16:15:31.097 +00:00', '2025-04-06 16:15:31.097 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (47, 'dolphin-llama3', 'Dolphin 2.9 is a new model with 8B and 70B sizes by Eric Hartford based on Llama 3 that has a variety of instruction, conversational, and coding skills.', '[]', '["8b","70b"]', 46, '2025-04-06 16:15:31.098 +00:00', '2025-04-06 16:15:31.098 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (48, 'command-r', 'Command R is a Large Language Model optimized for conversational interaction and long context tasks.', '["tools"]', '["35b"]', 47, '2025-04-06 16:15:31.100 +00:00', '2025-04-06 16:15:31.100 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (49, 'yi', 'Yi 1.5 is a high-performing, bilingual language model.', '[]', '["6b","9b","34b"]', 48, '2025-04-06 16:15:31.101 +00:00', '2025-04-06 16:15:31.101 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (50, 'hermes3', 'Hermes 3 is the latest version of the flagship Hermes series of LLMs by Nous Research', '["tools"]', '["3b","8b","70b","405b"]', 49, '2025-04-06 16:15:31.102 +00:00', '2025-04-06 16:15:31.102 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (51, 'phi3.5', 'A lightweight AI model with 3.8 billion parameters with performance overtaking similarly and larger sized models.', '[]', '["3.8b"]', 50, '2025-04-06 16:15:31.104 +00:00', '2025-04-06 16:15:31.104 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (52, 'zephyr', 'Zephyr is a series of fine-tuned versions of the Mistral and Mixtral models that are trained to act as helpful assistants.', '[]', '["7b","141b"]', 51, '2025-04-06 16:15:31.105 +00:00', '2025-04-06 16:15:31.105 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (53, 'codestral', 'Codestral is Mistral AI’s first-ever code model designed for code generation tasks.', '[]', '["22b"]', 52, '2025-04-06 16:15:31.106 +00:00', '2025-04-06 16:15:31.106 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (54, 'smollm', '🪐 A family of small models with 135M, 360M, and 1.7B parameters, trained on a new high-quality dataset.', '[]', '["135m","360m","1.7b"]', 53, '2025-04-06 16:15:31.106 +00:00', '2025-04-06 16:15:31.106 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (55, 'granite-code', 'A family of open foundation models by IBM for Code Intelligence', '[]', '["3b","8b","20b","34b"]', 54, '2025-04-06 16:15:31.107 +00:00', '2025-04-06 16:15:31.107 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (56, 'wizard-vicuna-uncensored', 'Wizard Vicuna Uncensored is a 7B, 13B, and 30B parameter model based on Llama 2 uncensored by Eric Hartford.', '[]', '["7b","13b","30b"]', 55, '2025-04-06 16:15:31.108 +00:00', '2025-04-06 16:15:31.108 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (57, 'starcoder', 'StarCoder is a code generation model trained on 80+ programming languages.', '[]', '["1b","3b","7b","15b"]', 56, '2025-04-06 16:15:31.109 +00:00', '2025-04-06 16:15:31.109 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (58, 'vicuna', 'General use chat model based on Llama and Llama 2 with 2K to 16K context sizes.', '[]', '["7b","13b","33b"]', 57, '2025-04-06 16:15:31.110 +00:00', '2025-04-06 16:15:31.110 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (59, 'mistral-openorca', 'Mistral OpenOrca is a 7 billion parameter model, fine-tuned on top of the Mistral 7B model using the OpenOrca dataset.', '[]', '["7b"]', 58, '2025-04-06 16:15:31.111 +00:00', '2025-04-06 16:15:31.111 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (60, 'moondream', 'moondream2 is a small vision language model designed to run efficiently on edge devices.', '["vision"]', '["1.8b"]', 59, '2025-04-06 16:15:31.112 +00:00', '2025-04-06 16:15:31.112 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (61, 'llama2-chinese', 'Llama 2 based model fine tuned to improve Chinese dialogue ability.', '[]', '["7b","13b"]', 60, '2025-04-06 16:15:31.113 +00:00', '2025-04-06 16:15:31.113 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (62, 'openchat', 'A family of open-source models trained on a wide variety of data, surpassing ChatGPT on various benchmarks. Updated to version 3.5-0106.', '[]', '["7b"]', 61, '2025-04-06 16:15:31.114 +00:00', '2025-04-06 16:15:31.114 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (63, 'codegeex4', 'A versatile model for AI software development scenarios, including code completion.', '[]', '["9b"]', 62, '2025-04-06 16:15:31.115 +00:00', '2025-04-06 16:15:31.115 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (64, 'aya', 'Aya 23, released by Cohere, is a new family of state-of-the-art, multilingual models that support 23 languages.', '[]', '["8b","35b"]', 63, '2025-04-06 16:15:31.117 +00:00', '2025-04-06 16:15:31.117 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (65, 'codeqwen', 'CodeQwen1.5 is a large language model pretrained on a large amount of code data.', '[]', '["7b"]', 64, '2025-04-06 16:15:31.118 +00:00', '2025-04-06 16:15:31.118 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (66, 'openhermes', 'OpenHermes 2.5 is a 7B model fine-tuned by Teknium on Mistral with fully open datasets.', '[]', '[]', 65, '2025-04-06 16:15:31.119 +00:00', '2025-04-06 16:15:31.119 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (67, 'deepseek-llm', 'An advanced language model crafted with 2 trillion bilingual tokens.', '[]', '["7b","67b"]', 66, '2025-04-06 16:15:31.120 +00:00', '2025-04-06 16:15:31.120 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (68, 'deepseek-v2', 'A strong, economical, and efficient Mixture-of-Experts language model.', '[]', '["16b","236b"]', 67, '2025-04-06 16:15:31.121 +00:00', '2025-04-06 16:15:31.121 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (69, 'mistral-large', 'Mistral Large 2 is Mistral''s new flagship model that is significantly more capable in code generation, mathematics, and reasoning with 128k context window and support for dozens of languages.', '["tools"]', '["123b"]', 68, '2025-04-06 16:15:31.123 +00:00', '2025-04-06 16:15:31.123 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (70, 'glm4', 'A strong multi-lingual general language model with competitive performance to Llama 3.', '[]', '["9b"]', 69, '2025-04-06 16:15:31.124 +00:00', '2025-04-06 16:15:31.124 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (71, 'stable-code', 'Stable Code 3B is a coding model with instruct and code completion variants on par with models such as Code Llama 7B that are 2.5x larger.', '[]', '["3b"]', 70, '2025-04-06 16:15:31.125 +00:00', '2025-04-06 16:15:31.125 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (72, 'tinydolphin', 'An experimental 1.1B parameter model trained on the new Dolphin 2.8 dataset by Eric Hartford and based on TinyLlama.', '[]', '["1.1b"]', 71, '2025-04-06 16:15:31.126 +00:00', '2025-04-06 16:15:31.126 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (73, 'qwen2-math', 'Qwen2 Math is a series of specialized math language models built upon the Qwen2 LLMs, which significantly outperforms the mathematical capabilities of open-source models and even closed-source models (e.g., GPT4o).', '[]', '["1.5b","7b","72b"]', 72, '2025-04-06 16:15:31.127 +00:00', '2025-04-06 16:15:31.127 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (74, 'nous-hermes2', 'The powerful family of models by Nous Research that excels at scientific discussion and coding tasks.', '[]', '["10.7b","34b"]', 73, '2025-04-06 16:15:31.127 +00:00', '2025-04-06 16:15:31.127 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (75, 'command-r-plus', 'Command R+ is a powerful, scalable large language model purpose-built to excel at real-world enterprise use cases.', '["tools"]', '["104b"]', 74, '2025-04-06 16:15:31.128 +00:00', '2025-04-06 16:15:31.128 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (76, 'wizardcoder', 'State-of-the-art code generation model', '[]', '["33b"]', 75, '2025-04-06 16:15:31.129 +00:00', '2025-04-06 16:15:31.129 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (77, 'bakllava', 'BakLLaVA is a multimodal model consisting of the Mistral 7B base model augmented with the LLaVA  architecture.', '["vision"]', '["7b"]', 76, '2025-04-06 16:15:31.129 +00:00', '2025-04-06 16:15:31.129 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (78, 'stablelm2', 'Stable LM 2 is a state-of-the-art 1.6B and 12B parameter language model trained on multilingual data in English, Spanish, German, Italian, French, Portuguese, and Dutch.', '[]', '["1.6b","12b"]', 77, '2025-04-06 16:15:31.130 +00:00', '2025-04-06 16:15:31.130 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (79, 'neural-chat', 'A fine-tuned model based on Mistral with good coverage of domain and language.', '[]', '["7b"]', 78, '2025-04-06 16:15:31.131 +00:00', '2025-04-06 16:15:31.131 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (80, 'reflection', 'A high-performing model trained with a new technique called Reflection-tuning that teaches a LLM to detect mistakes in its reasoning and correct course.', '[]', '["70b"]', 79, '2025-04-06 16:15:31.132 +00:00', '2025-04-06 16:15:31.132 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (81, 'wizard-math', 'Model focused on math and logic problems', '[]', '["7b","13b","70b"]', 80, '2025-04-06 16:15:31.132 +00:00', '2025-04-06 16:15:31.132 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (82, 'llama3-chatqa', 'A model from NVIDIA based on Llama 3 that excels at conversational question answering (QA) and retrieval-augmented generation (RAG).', '[]', '["8b","70b"]', 81, '2025-04-06 16:15:31.133 +00:00', '2025-04-06 16:15:31.133 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (83, 'llama3-gradient', 'This model extends LLama-3 8B''s context length from 8k to over 1m tokens.', '[]', '["8b","70b"]', 82, '2025-04-06 16:15:31.134 +00:00', '2025-04-06 16:15:31.134 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (84, 'sqlcoder', 'SQLCoder is a code completion model fined-tuned on StarCoder for SQL generation tasks', '[]', '["7b","15b"]', 83, '2025-04-06 16:15:31.134 +00:00', '2025-04-06 16:15:31.134 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (85, 'bge-large', 'Embedding model from BAAI mapping texts to vectors.', '["embedding"]', '["335m"]', 84, '2025-04-06 16:15:31.135 +00:00', '2025-04-06 16:15:31.135 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (86, 'phi4-mini', 'Phi-4-mini brings significant enhancements in multilingual support, reasoning, and mathematics, and now, the long-awaited function calling feature is finally supported.', '["tools"]', '["3.8b"]', 85, '2025-04-06 16:15:31.136 +00:00', '2025-04-06 16:15:31.136 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (87, 'samantha-mistral', 'A companion assistant trained in philosophy, psychology, and personal relationships. Based on Mistral.', '[]', '["7b"]', 86, '2025-04-06 16:15:31.137 +00:00', '2025-04-06 16:15:31.137 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (88, 'granite3.1-dense', 'The IBM Granite 2B and 8B models are text-only dense LLMs trained on over 12 trillion tokens of data, demonstrated significant improvements over their predecessors in performance and speed in IBM’s initial testing.', '["tools"]', '["2b","8b"]', 87, '2025-04-06 16:15:31.138 +00:00', '2025-04-06 16:15:31.138 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (89, 'dolphincoder', 'A 7B and 15B uncensored variant of the Dolphin model family that excels at coding, based on StarCoder2.', '[]', '["7b","15b"]', 88, '2025-04-06 16:15:31.139 +00:00', '2025-04-06 16:15:31.139 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (90, 'llava-phi3', 'A new small LLaVA model fine-tuned from Phi 3 Mini.', '["vision"]', '["3.8b"]', 89, '2025-04-06 16:15:31.139 +00:00', '2025-04-06 16:15:31.139 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (91, 'xwinlm', 'Conversational model based on Llama 2 that performs competitively on various benchmarks.', '[]', '["7b","13b"]', 90, '2025-04-06 16:15:31.140 +00:00', '2025-04-06 16:15:31.140 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (92, 'nous-hermes', 'General use models based on Llama and Llama 2 from Nous Research.', '[]', '["7b","13b"]', 91, '2025-04-06 16:15:31.141 +00:00', '2025-04-06 16:15:31.141 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (93, 'phind-codellama', 'Code generation model based on Code Llama.', '[]', '["34b"]', 92, '2025-04-06 16:15:31.142 +00:00', '2025-04-06 16:15:31.142 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (94, 'starling-lm', 'Starling is a large language model trained by reinforcement learning from AI feedback focused on improving chatbot helpfulness.', '[]', '["7b"]', 93, '2025-04-06 16:15:31.142 +00:00', '2025-04-06 16:15:31.142 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (95, 'solar', 'A compact, yet powerful 10.7B large language model designed for single-turn conversation.', '[]', '["10.7b"]', 94, '2025-04-06 16:15:31.143 +00:00', '2025-04-06 16:15:31.143 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (96, 'yarn-llama2', 'An extension of Llama 2 that supports a context of up to 128k tokens.', '[]', '["7b","13b"]', 95, '2025-04-06 16:15:31.144 +00:00', '2025-04-06 16:15:31.144 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (97, 'yi-coder', 'Yi-Coder is a series of open-source code language models that delivers state-of-the-art coding performance with fewer than 10 billion parameters.', '[]', '["1.5b","9b"]', 96, '2025-04-06 16:15:31.145 +00:00', '2025-04-06 16:15:31.145 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (98, 'athene-v2', 'Athene-V2 is a 72B parameter model which excels at code completion, mathematics, and log extraction tasks.', '["tools"]', '["72b"]', 97, '2025-04-06 16:15:31.146 +00:00', '2025-04-06 16:15:31.146 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (99, 'internlm2', 'InternLM2.5 is a 7B parameter model tailored for practical scenarios with outstanding reasoning capability.', '[]', '["1m","1.8b","7b","20b"]', 98, '2025-04-06 16:15:31.147 +00:00', '2025-04-06 16:15:31.147 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (100, 'wizardlm', 'General use model based on Llama 2.', '[]', '[]', 99, '2025-04-06 16:15:31.148 +00:00', '2025-04-06 16:15:31.148 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (101, 'nemotron-mini', 'A commercial-friendly small language model by NVIDIA optimized for roleplay, RAG QA, and function calling.', '["tools"]', '["4b"]', 100, '2025-04-06 16:15:31.149 +00:00', '2025-04-06 16:15:31.149 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (102, 'deepscaler', 'A fine-tuned version of Deepseek-R1-Distilled-Qwen-1.5B that surpasses the performance of OpenAI’s o1-preview with just 1.5B parameters on popular math evaluations.', '[]', '["1.5b"]', 101, '2025-04-06 16:15:31.150 +00:00', '2025-04-06 16:15:31.150 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (103, 'falcon', 'A large language model built by the Technology Innovation Institute (TII) for use in summarization, text generation, and chat bots.', '[]', '["7b","40b","180b"]', 102, '2025-04-06 16:15:31.150 +00:00', '2025-04-06 16:15:31.150 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (104, 'granite3-dense', 'The IBM Granite 2B and 8B models are designed to support tool-based use cases and support for retrieval augmented generation (RAG), streamlining code generation, translation and bug fixing.', '["tools"]', '["2b","8b"]', 103, '2025-04-06 16:15:31.151 +00:00', '2025-04-06 16:15:31.151 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (105, 'nemotron', 'Llama-3.1-Nemotron-70B-Instruct is a large language model customized by NVIDIA to improve the helpfulness of LLM generated responses to user queries.', '["tools"]', '["70b"]', 104, '2025-04-06 16:15:31.152 +00:00', '2025-04-06 16:15:31.152 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (106, 'dolphin-phi', '2.7B uncensored Dolphin model by Eric Hartford, based on the Phi language model by Microsoft Research.', '[]', '["2.7b"]', 105, '2025-04-06 16:15:31.152 +00:00', '2025-04-06 16:15:31.152 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (107, 'orca2', 'Orca 2 is built by Microsoft research, and are a fine-tuned version of Meta''s Llama 2 models.  The model is designed to excel particularly in reasoning.', '[]', '["7b","13b"]', 106, '2025-04-06 16:15:31.153 +00:00', '2025-04-06 16:15:31.153 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (108, 'wizardlm-uncensored', 'Uncensored version of Wizard LM model', '[]', '["13b"]', 107, '2025-04-06 16:15:31.154 +00:00', '2025-04-06 16:15:31.154 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (109, 'llama3-groq-tool-use', 'A series of models from Groq that represent a significant advancement in open-source AI capabilities for tool use/function calling.', '["tools"]', '["8b","70b"]', 108, '2025-04-06 16:15:31.154 +00:00', '2025-04-06 16:15:31.154 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (110, 'stable-beluga', 'Llama 2 based model fine tuned on an Orca-style dataset. Originally called Free Willy.', '[]', '["7b","13b","70b"]', 109, '2025-04-06 16:15:31.155 +00:00', '2025-04-06 16:15:31.155 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (111, 'granite3.2', 'Granite-3.2 is a family of long-context AI models from IBM Granite fine-tuned for thinking capabilities.', '["tools"]', '["2b","8b"]', 110, '2025-04-06 16:15:31.156 +00:00', '2025-04-06 16:15:31.156 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (112, 'paraphrase-multilingual', 'Sentence-transformers model that can be used for tasks like clustering or semantic search.', '["embedding"]', '["278m"]', 111, '2025-04-06 16:15:31.156 +00:00', '2025-04-06 16:15:31.156 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (113, 'snowflake-arctic-embed2', 'Snowflake''s frontier embedding model. Arctic Embed 2.0 adds multilingual support without sacrificing English performance or scalability.', '["embedding"]', '["568m"]', 112, '2025-04-06 16:15:31.157 +00:00', '2025-04-06 16:15:31.157 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (114, 'deepseek-v2.5', 'An upgraded version of DeekSeek-V2  that integrates the general and coding abilities of both DeepSeek-V2-Chat and DeepSeek-Coder-V2-Instruct.', '[]', '["236b"]', 113, '2025-04-06 16:15:31.158 +00:00', '2025-04-06 16:15:31.158 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (115, 'smallthinker', 'A new small reasoning model fine-tuned from the Qwen 2.5 3B Instruct model.', '[]', '["3b"]', 114, '2025-04-06 16:15:31.158 +00:00', '2025-04-06 16:15:31.158 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (116, 'aya-expanse', 'Cohere For AI''s language models trained to perform well across 23 different languages.', '["tools"]', '["8b","32b"]', 115, '2025-04-06 16:15:31.159 +00:00', '2025-04-06 16:15:31.159 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (117, 'meditron', 'Open-source medical large language model adapted from Llama 2 to the medical domain.', '[]', '["7b","70b"]', 116, '2025-04-06 16:15:31.159 +00:00', '2025-04-06 16:15:31.159 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (118, 'medllama2', 'Fine-tuned Llama 2 model to answer medical questions based on an open source medical dataset.', '[]', '["7b"]', 117, '2025-04-06 16:15:31.160 +00:00', '2025-04-06 16:15:31.160 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (119, 'granite3-moe', 'The IBM Granite 1B and 3B models are the first mixture of experts (MoE) Granite models from IBM designed for low latency usage.', '["tools"]', '["1b","3b"]', 118, '2025-04-06 16:15:31.161 +00:00', '2025-04-06 16:15:31.161 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (120, 'falcon3', 'A family of efficient AI models under 10B parameters performant in science, math, and coding through innovative training techniques.', '[]', '["1b","3b","7b","10b"]', 119, '2025-04-06 16:15:31.161 +00:00', '2025-04-06 16:15:31.161 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (121, 'llama-pro', 'An expansion of Llama 2 that specializes in integrating both general language understanding and domain-specific knowledge, particularly in programming and mathematics.', '[]', '[]', 120, '2025-04-06 16:15:31.162 +00:00', '2025-04-06 16:15:31.162 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (122, 'yarn-mistral', 'An extension of Mistral to support context windows of 64K or 128K.', '[]', '["7b"]', 121, '2025-04-06 16:15:31.162 +00:00', '2025-04-06 16:15:31.162 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (123, 'nexusraven', 'Nexus Raven is a 13B instruction tuned model for function calling tasks.', '[]', '["13b"]', 122, '2025-04-06 16:15:31.163 +00:00', '2025-04-06 16:15:31.163 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (124, 'codeup', 'Great code generation model based on Llama2.', '[]', '["13b"]', 123, '2025-04-06 16:15:31.164 +00:00', '2025-04-06 16:15:31.164 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (125, 'everythinglm', 'Uncensored Llama2 based model with support for a 16K context window.', '[]', '["13b"]', 124, '2025-04-06 16:15:31.165 +00:00', '2025-04-06 16:15:31.165 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (126, 'nous-hermes2-mixtral', 'The Nous Hermes 2 model from Nous Research, now trained over Mixtral.', '[]', '["8x7b"]', 125, '2025-04-06 16:15:31.166 +00:00', '2025-04-06 16:15:31.166 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (127, 'granite3.1-moe', 'The IBM Granite 1B and 3B models are long-context mixture of experts (MoE) Granite models from IBM designed for low latency usage.', '["tools"]', '["1b","3b"]', 126, '2025-04-06 16:15:31.166 +00:00', '2025-04-06 16:15:31.166 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (128, 'shieldgemma', 'ShieldGemma is set of instruction tuned models for evaluating the safety of text prompt input and text output responses against a set of defined safety policies.', '[]', '["2b","9b","27b"]', 127, '2025-04-06 16:15:31.167 +00:00', '2025-04-06 16:15:31.167 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (129, 'reader-lm', 'A series of models that convert HTML content to Markdown content, which is useful for content conversion tasks.', '[]', '["0.5b","1.5b"]', 128, '2025-04-06 16:15:31.168 +00:00', '2025-04-06 16:15:31.168 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (130, 'granite3.2-vision', 'A compact and efficient vision-language model, specifically designed for visual document understanding, enabling automated content extraction from tables, charts, infographics, plots, diagrams, and more.', '["vision","tools"]', '["2b"]', 129, '2025-04-06 16:15:31.168 +00:00', '2025-04-06 16:15:31.168 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (131, 'marco-o1', 'An open large reasoning model for real-world solutions by the Alibaba International Digital Commerce Group (AIDC-AI).', '[]', '["7b"]', 130, '2025-04-06 16:15:31.169 +00:00', '2025-04-06 16:15:31.169 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (132, 'exaone3.5', 'EXAONE 3.5 is a collection of instruction-tuned bilingual (English and Korean) generative models ranging from 2.4B to 32B parameters, developed and released by LG AI Research.', '[]', '["2.4b","7.8b","32b"]', 131, '2025-04-06 16:15:31.170 +00:00', '2025-04-06 16:15:31.170 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (133, 'mathstral', 'MathΣtral: a 7B model designed for math reasoning and scientific discovery by Mistral AI.', '[]', '["7b"]', 132, '2025-04-06 16:15:31.170 +00:00', '2025-04-06 16:15:31.170 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (134, 'llama-guard3', 'Llama Guard 3 is a series of models fine-tuned for content safety classification of LLM inputs and responses.', '[]', '["1b","8b"]', 133, '2025-04-06 16:15:31.171 +00:00', '2025-04-06 16:15:31.171 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (135, 'solar-pro', 'Solar Pro Preview: an advanced large language model (LLM) with 22 billion parameters designed to fit into a single GPU', '[]', '["22b"]', 134, '2025-04-06 16:15:31.171 +00:00', '2025-04-06 16:15:31.171 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (136, 'falcon2', 'Falcon2 is an 11B parameters causal decoder-only model built by TII and trained over 5T tokens.', '[]', '["11b"]', 135, '2025-04-06 16:15:31.172 +00:00', '2025-04-06 16:15:31.172 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (137, 'stablelm-zephyr', 'A lightweight chat model allowing accurate, and responsive output without requiring high-end hardware.', '[]', '["3b"]', 136, '2025-04-06 16:15:31.173 +00:00', '2025-04-06 16:15:31.173 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (138, 'magicoder', '🎩 Magicoder is a family of 7B parameter models trained on 75K synthetic instruction data using OSS-Instruct, a novel approach to enlightening LLMs with open-source code snippets.', '[]', '["7b"]', 137, '2025-04-06 16:15:31.174 +00:00', '2025-04-06 16:15:31.174 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (139, 'codebooga', 'A high-performing code instruct model created by merging two existing code models.', '[]', '["34b"]', 138, '2025-04-06 16:15:31.174 +00:00', '2025-04-06 16:15:31.174 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (140, 'duckdb-nsql', '7B parameter text-to-SQL model made by MotherDuck and Numbers Station.', '[]', '["7b"]', 139, '2025-04-06 16:15:31.175 +00:00', '2025-04-06 16:15:31.175 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (141, 'mistrallite', 'MistralLite is a fine-tuned model based on Mistral with enhanced capabilities of processing long contexts.', '[]', '["7b"]', 140, '2025-04-06 16:15:31.175 +00:00', '2025-04-06 16:15:31.175 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (142, 'wizard-vicuna', 'Wizard Vicuna is a 13B parameter model based on Llama 2 trained by MelodysDreamj.', '[]', '["13b"]', 141, '2025-04-06 16:15:31.176 +00:00', '2025-04-06 16:15:31.176 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (143, 'command-r7b', 'The smallest model in Cohere''s R series delivers top-tier speed, efficiency, and quality to build powerful AI applications on commodity GPUs and edge devices.', '["tools"]', '["7b"]', 142, '2025-04-06 16:15:31.177 +00:00', '2025-04-06 16:15:31.177 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (144, 'granite-embedding', 'The IBM Granite Embedding 30M and 278M models models are text-only dense biencoder embedding models, with 30M available in English only and 278M serving multilingual use cases.', '["embedding"]', '["30m","278m"]', 143, '2025-04-06 16:15:31.177 +00:00', '2025-04-06 16:15:31.177 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (145, 'opencoder', 'OpenCoder is an open and reproducible code LLM family which includes 1.5B and 8B models, supporting chat in English and Chinese languages.', '[]', '["1.5b","8b"]', 144, '2025-04-06 16:15:31.178 +00:00', '2025-04-06 16:15:31.178 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (146, 'nuextract', 'A 3.8B model fine-tuned on a private high-quality synthetic dataset for information extraction, based on Phi-3.', '[]', '["3.8b"]', 145, '2025-04-06 16:15:31.178 +00:00', '2025-04-06 16:15:31.178 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (147, 'megadolphin', 'MegaDolphin-2.2-120b is a transformation of Dolphin-2.2-70b created by interleaving the model with itself.', '[]', '["120b"]', 146, '2025-04-06 16:15:31.179 +00:00', '2025-04-06 16:15:31.179 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (148, 'bespoke-minicheck', 'A state-of-the-art fact-checking model developed by Bespoke Labs.', '[]', '["7b"]', 147, '2025-04-06 16:15:31.180 +00:00', '2025-04-06 16:15:31.180 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (149, 'notux', 'A top-performing mixture of experts model, fine-tuned with high-quality data.', '[]', '["8x7b"]', 148, '2025-04-06 16:15:31.180 +00:00', '2025-04-06 16:15:31.180 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (150, 'open-orca-platypus2', 'Merge of the Open Orca OpenChat model and the Garage-bAInd Platypus 2 model. Designed for chat and code generation.', '[]', '["13b"]', 149, '2025-04-06 16:15:31.181 +00:00', '2025-04-06 16:15:31.181 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (151, 'notus', 'A 7B chat model fine-tuned with high-quality data and based on Zephyr.', '[]', '["7b"]', 150, '2025-04-06 16:15:31.181 +00:00', '2025-04-06 16:15:31.181 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (152, 'exaone-deep', 'EXAONE Deep exhibits superior capabilities in various reasoning tasks including math and coding benchmarks, ranging from 2.4B to 32B parameters developed and released by LG AI Research.', '[]', '["2.4b","7.8b","32b"]', 151, '2025-04-06 16:15:31.182 +00:00', '2025-04-06 16:15:31.182 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (153, 'goliath', 'A language model created by combining two fine-tuned Llama 2 70B models into one.', '[]', '[]', 152, '2025-04-06 16:15:31.183 +00:00', '2025-04-06 16:15:31.183 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (154, 'tulu3', 'Tülu 3 is a leading instruction following model family, offering fully open-source data, code, and recipes by the The Allen Institute for AI.', '[]', '["8b","70b"]', 153, '2025-04-06 16:15:31.183 +00:00', '2025-04-06 16:15:31.183 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (155, 'r1-1776', 'A version of the DeepSeek-R1 model that has been post trained to provide unbiased, accurate, and factual information by Perplexity.', '[]', '["70b","671b"]', 154, '2025-04-06 16:15:31.184 +00:00', '2025-04-06 16:15:31.184 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (156, 'firefunction-v2', 'An open weights function calling model based on Llama 3, competitive with GPT-4o function calling capabilities.', '["tools"]', '["70b"]', 155, '2025-04-06 16:15:31.185 +00:00', '2025-04-06 16:15:31.185 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (157, 'dbrx', 'DBRX is an open, general-purpose LLM created by Databricks.', '[]', '["132b"]', 156, '2025-04-06 16:15:31.186 +00:00', '2025-04-06 16:15:31.186 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (158, 'granite3-guardian', 'The IBM Granite Guardian 3.0 2B and 8B models are designed to detect risks in prompts and/or responses.', '[]', '["2b","8b"]', 157, '2025-04-06 16:15:31.187 +00:00', '2025-04-06 16:15:31.187 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (159, 'alfred', 'A robust conversational model designed to be used for both chat and instruct use cases.', '[]', '["40b"]', 158, '2025-04-06 16:15:31.188 +00:00', '2025-04-06 16:15:31.188 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (160, 'sailor2', 'Sailor2 are multilingual language models made for South-East Asia. Available in 1B, 8B, and 20B parameter sizes.', '[]', '["1b","8b","20b"]', 159, '2025-04-06 16:15:31.188 +00:00', '2025-04-06 16:15:31.188 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (161, 'command-a', '111 billion parameter model optimized for demanding enterprises that require fast, secure, and high-quality AI', '["tools"]', '["111b"]', 160, '2025-04-06 16:15:31.189 +00:00', '2025-04-06 16:15:31.189 +00:00', NULL);
INSERT INTO "local_ollama_models" ("id", "name", "description", "capabilities", "sizes", "sort", "created_at", "updated_at", "deleted_at") VALUES (162, 'command-r7b-arabic', 'A new state-of-the-art version of the lightweight Command R7B model that excels in advanced Arabic language capabilities for enterprises in the Middle East and Northern Africa.', '["tools"]', '["7b"]', 161, '2025-04-06 16:15:31.190 +00:00', '2025-04-06 16:15:31.190 +00:00', NULL);
COMMIT;

-- ----------------------------
-- Auto increment value for local_ollama_models
-- ----------------------------
UPDATE "main"."sqlite_sequence" SET seq = 162 WHERE name = 'local_ollama_models';

PRAGMA foreign_keys = true;
